SynthesisAMIA ... Annual Symposium proceedings. AMIA Symposium2020
Evaluating Commercially Available Mobile Apps for Depression Self-Management.
Synthesis in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.
- Self-Management Support Apps for Spinal Cord Injury: Results of a Systematic Search in App Stores and Mobile App Rating Scale Evaluation.JMIR mHealth and uHealth · 2024Pooled it
- Digital therapeutics for depression in Germany: A systematic app review.Internet interventions · 2026Article
- Patient and Care Team Perspectives of Barriers to and Facilitators for the Implementation of a Digital Health Program for Depression in Primary Care: Qualitative Study.Journal of medical Internet research · 2026Article
- Navigating the Digital Landscape for Potential Use of Mental Health Apps in Clinical Practice: Scoping Review.JMIR mental health · 2026Article
- mHealth Apps in German Outpatient Mental Health Care: Protocol for a Mixed Methods Approach.JMIR research protocols · 2024Article
- Quality assessment of mHealth apps: a scoping review.Frontiers in health services · 2024Article
- Health Tracking via Mobile Apps for Depression Self-management: Qualitative Content Analysis of User Reviews.JMIR human factors · 2022Article
- Mental Health Mobile Apps in the French App Store: Assessment Study of Functionality and Quality.JMIR mHealth and uHealth · 2022Article
- Review and Analysis of German Mobile Apps for Inflammatory Bowel Disease Management Using the Mobile Application Rating Scale: Systematic Search in App Stores and Content Analysis.JMIR mHealth and uHealth · 2022Article
- Evaluating User Feedback for an Artificial Intelligence-Enabled, Cognitive Behavioral Therapy-Based Mental Health App (Wysa): Qualitative Thematic Analysis.JMIR human factors · 2022Article
- Multipurpose Mobile Apps for Mental Health in Chinese App Stores: Content Analysis and Quality Evaluation.JMIR mHealth and uHealth · 2022Article
- Functional Analysis and Quality Assessment of Mobile Applications for Managing Alcohol Use Disorder.International journal of addiction nursingArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
Clinical depression affects 17.3 million adults in the U.S. However, 37% of these adults receive no treatment, and many symptoms remain unmanaged. Mobile health apps may complement in-person treatment and address barriers to treatment, yet their quality has not been systematically appraised. We conducted a systematic review of apps for depression by searching in three major app stores. Apps were selected using specific inclusion and exclusion criteria. The final apps were downloaded and independently evaluated using the Mobile Application Rating Scale (MARS), IMS Institute for Healthcare Informatics functionality score, and six features specific to depression self-management. Mobile health apps for depression self-management exhibit a wide range of quality, but more than half (74%) of the apps had acceptable quality, with 32% having MARS scores ≥ 4.0 out of 5.0. These high scoring apps indicate that mobile apps have the potential to improve patient self-management, treatment engagement, and mental health outcomes.
Indexed as
Identifiers
33936466PMC8075488W3158183550What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.